code: def get_config_dict():
      """Maps FLAGS to dictionnary in order to save it in json format."""
      config = {}
      for _, arg_dict in CONFIG.items():
          for arg, _ in arg_dict.items():
              config[arg] = getattr(FLAGS, arg)
      return config
  
file_path: neural-structured-learning/research/kg_hyp_emb/utils/train.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import flags
  from kg_hyp_emb.config import CONFIG
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: get_config_dict() and returns: config